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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU 2022-10-21
15:55		 Tokyo Miraikan - The National Museum of Emerging Science and Innovation
(Primary: On-site, Secondary: Online)		 Fine-grained Motion Recognition in First-person Cooking Videos Using Hand Trajectory Features
Sota Miyamoto (Tokyo Tech), Yagi Takuma (UTokyo), Ushiku Yoshitaka, Atsushi Hashimoto (OSX), Nakamasa Inoue (Tokyo Tech) PRMU2022-29		 Action recognition in kitchen environments is a crucial topic in computer vision and robotics
with application toward f... [more]		 PRMU2022-29
pp.41-46
PRMU 2020-12-18
10:00		 Online Online Report on MIRU 2020 Young Researchers Program
Yuzuko Utsumi (OPU), Takafumi Iwaguchi (Kyushu Univ.), Xueting Wang (Univ. of Tokyo), Masanori Suganuma (Tohoku Univ./RIKEN), Mai Nishimura (Kyoto Univ./OSX), Kensho Hara (AIST), Tsubasa Hirakawa (Chubu Univ.), Hiroshi Fukui (NEC) PRMU2020-53		 (To be available after the conference date) [more] PRMU2020-53
pp.86-92
HCGSYMPO
(2nd)		 2019-12-11
- 2019-12-13		 Hiroshima Hiroshima-ken Joho Plaza (Hiroshima) Visualization of conceptual model of cooking workspace
Ryutaro Hama, Azusa Saito, Yukari Takaku (LIXIL), Atsushi Hashimoto (Omron Sinic X) 		This paper proposes a method for visualizing and analyzing conceptual models of cooking space in kitchen.
We hypothesi... [more]
RCS 2019-06-19
15:15		 Okinawa Miyakojima Hirara Port Terminal Building A Study for Improving Prediction Accuracy on Federated Learning with Non-IID Data in Wireless Networks
Naoya Yoshida, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto (Kyoto Univ.), Ryo Yonetani (OMRON SINIC X Corp.) RCS2019-54		 Federated Learning (FL) is a decentralized learning mechanism, which enables to train machine learning (ML) model using ... [more] RCS2019-54
pp.103-108
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